Automation Standards & AI Frameworks Architect

Socket.dev; Milwaukee (WI, KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health Insurance

401k

Paid Time off

Parental leave

Flexible Work Schedule

Job summary

Rockwell Automation is seeking an experienced engineer to design and implement agentic engineering frameworks for industrial automation development. You will define architectures for agents, skills, workflow orchestration, MCP services, and reusable libraries.

Transform domain expertise into AI-enabled skills and create reference architectures for AI-assisted development and testing. The role requires leadership in defining coding standards, governance models, and lifecycle management, plus

Qualifications

• Bachelor's Degree or Equivalent Years of Relevant Work Experience
• Typically requires a minimum of 8 years of related experience in industrial automation, software engineering, or digital manufacturing solutions.
• Experience with automation architectures and industrial software development practices.
• Experience defining coding standards, governance models, and reusable software frameworks.
• Knowledge of software architecture patterns, APIs, microservices, and modern development methodologies.
• Experience leading customer-facing consulting or architecture engagements.
• Experience with PLC, HMI, SCADA, MES, IIoT, and digital manufacturing platforms.
• Experience with AI agents, workflow orchestration frameworks, MCP architectures, and agentic development methodologies.
• Knowledge of cloud-native architectures, containerization, and modern DevOps practices.
• Familiarity with code generation, AI-assisted development, testing automation, and model-driven engineering.
• Experience building reusable engineering libraries, templates, frameworks, or accelerators.
• Knowledge of FactoryTalk, Logix, Optix, industrial digital twins, and modern automation application platforms.
• Establish customer-specific automation standards that improve engineering consistency and quality.
• Create reusable agentic frameworks that accelerate project execution and reduce engineering effort.
• Assist customers to transform engineering knowledge into reusable AI-enabled skills.
• Improve development productivity through standardization, automation, and AI-assisted workflows.
• Build long-term customer relationships as a trusted advisor for automation and AI-enabled engineering transformation.

Responsibilities

• Design and implement Agentic Engineering Frameworks for industrial automation development.
• Define the architecture and integration of agents, skills, workflow orchestration, MCP services, development tools, and reusable libraries.
• Transform domain expertise, engineering procedures, and trusted content into reusable AI-enabled skills.
• Develop methodologies for converting customer standards, strategies, and engineering workflows into agent-executable processes.
• Create reference architectures that promote AI-assisted development, testing, documentation, code generation, validation, and commissioning workflows.
• Advise customers on the development and adoption of enterprise Automation Code Standards.
• Assess existing automation architectures, libraries, engineering workflows, and governance models.
• Define coding guidelines, naming conventions, modular programming practices, testing strategies, and lifecycle management processes.
• Establish reusable architectures and engineering frameworks for PLC, HMI, SCADA, analytics, and digital manufacturing applications.
• Facilitate workshops with customer stakeholders to align standards across engineering teams and teams.

Education

Bachelor's Degree or Equivalent Years of Relevant Work Experience

Tools

FactoryTalk

Logix

Optix

Job description

Rockwell Automation is seeking an experienced engineer to design and implement agentic engineering frameworks for industrial automation development. You will define architectures for agents, skills, workflow orchestration, MCP services, and reusable libraries.

Transform domain expertise into AI-enabled skills and create reference architectures for AI-assisted development and testing. The role requires leadership in defining coding standards, governance models, and lifecycle management, plus